Daily trade alerts for ETH

Intro

In the backtesting analysis, I have established several different profitable strategies for timing entry/exits. Visit the ETH page to see how these signals were identified.

1. Simple moving average (SMA)

2. Exponential moving average (EMA)

3. SMA crosses

4. EMA crosses

5. Directional movement index (DMI)

6. True strength index (TSI) BEST

7. Stochastic oscillator (stoch)

8. Double RSI

9. Donchian channel

10. Know sure thing (KST)

11. Ensembl indicator

This script will examine the price action and these trade signals just before the daily close. If the signal is TRUE, it is bullish and if FALSE it is bearish. When there is a switch from bearish to bullish it is a buy signal and when it switches from bullish to bearish it is a sell signal. This HTML is updated just before the daily close each day, but push notifications for any trade signals are also sent by push bullet.

To receive these signals in real-time, subscribe to the following channels - it’s free for a limited time!

https://www.pushbullet.com/channel?tag=eth_signal

If you need some help to design your own trading signals/strategies, I am happy to help for a fee. email me at mark.ziemann{αt}gmail.com for any enquiries/suggestions/feedback.

This report is distributed for FREE under the MIT licence, but if you find it useful, consider a small tip.

Reminder: this analysis is not financial advice.

suppressPackageStartupMessages({
  library("jsonlite")
  library("tidyverse")
  library("runner")
  library("quantmod")
  library("TTR")
  library("RPushbullet")
  library("kableExtra")
})

TESTING = FALSE

MYNOTE = NULL

mydate <- Sys.time()
attr(mydate, "tzone") <- "UTC"
mydate <- as.Date(mydate)

Get ETH parameters

params <- read.table("https://mdz-analytics.com/coins/ETH/ETH_dat.txt", header=TRUE)
params %>% kbl(caption="optimised backtested parameters") %>%  kable_styling("hover", full_width = F)

Get ETH price data

Obtaining ETH price data (daily) for the last 300 days and today’s price.

URL="https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical?symbol=ETH&convert=USD&interval=daily&count=300"
download.file(URL,destfile="ethdat.txt")
ethdat <- fromJSON("ethdat.txt")
price <- ethdat$data$quotes
price <- data.frame(  as.Date(price$time_close) , price$quote$USD$high, price$quote$USD$low, price$quote$USD$close)
colnames(price) <- c("date","high","low","close")

URL="https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical?symbol=ETH&convert=USD&interval=hourly&time_period=hourly&count=11"
download.file(URL,destfile="ethdat.txt")
ethdat <- fromJSON("ethdat.txt")
price2 <- ethdat$data$quotes
price2 <- data.frame( as.Date(price2$time_close) , price2$quote$USD$high, price2$quote$USD$low, price2$quote$USD$close,stringsAsFactors=FALSE)
colnames(price2) <- c("date","high","low","close")

high <- max(price2[,2])
low <-  min(price2[,3])
close <- price2[nrow(price2),4]

df <- data.frame(date=mydate,high=high,low=low,close=close,stringsAsFactors=FALSE)
price <- rbind(price,df)
tail(price) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

if ( TESTING == TRUE) {
  price[nrow(price),"Close"] <- price[nrow(price),"Close"] * 2
}

ETH SMA indicator

Now to determine whether ETH has crossed the SMA line.

price2 <- price

n <- as.numeric(params[params$indicator == "SMA",2])

price2$ma <- SMA(Cl(price2),n=n)
price2$signal <- price2$close > price2$ma
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    eth_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    eth_signal="SELL"
  }
} else {
eth_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_SMA=TRUE
} else {
  ens_SMA=FALSE
}

message(paste("ETH SMA signal:",eth_signal))

## ETH SMA signal: NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="ETH w SMA")
grid()
lines(price2$ma~ as.Date(price2$date) ,col="red")

if ( eth_signal != "NONE") {
  MYNOTE <- paste("The ETH SMA signal is", eth_signal,".")
}

ETH EMA indicator

Now to determine whether ETH has crossed the EMA line.

price2 <- price

n <- as.numeric(params[params$indicator == "EMA",2])

price2$ma <- EMA(Cl(price2),n=n)
price2$signal <- price2$close > price2$ma
tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    eth_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    eth_signal="SELL"
  }
} else {
  eth_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_EMA=TRUE
} else {
  ens_EMA=FALSE
}

message(paste("ETH EMA signal:",eth_signal))

## ETH EMA signal: NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="ETH EMA")
grid()
lines(price2$ma~ as.Date(price2$date) ,col="red")

if ( eth_signal != "NONE") {
  MYNOTE <- paste("The ETH EMA signal is", eth_signal,".")
}

ETH SMA cross indicator

The SMA cross is a reasonably good strategy.

price2 <- price

n <- as.numeric(unlist(strsplit(params[params$indicator == "SMAcross",2],",")))
n1 <- n[1]
n2 <- n[2]

price2$ma1 <- SMA(Cl(price2),n=n1)
price2$ma2 <- SMA(Cl(price2),n=n2)

price2$signal <- price2$ma2 > price2$ma1
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    eth_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    eth_signal="SELL"
  }
} else {
eth_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_SMAcross=TRUE
} else {
  ens_SMAcross=FALSE
}

message(paste("ETH SMA cross signal:",eth_signal))

## ETH SMA cross signal: NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="ETH w SMA cross")
grid()
lines(price2$ma1~ as.Date(price2$date) ,col="red")
lines(price2$ma2~ as.Date(price2$date) ,col="blue")

if ( eth_signal != "NONE") {
  MYNOTE <- paste(MYNOTE, "The ETH SMA cross signal is", eth_signal,".")
}

ETH EMA cross indicator

The EMA cross is a moderately profitable strategy.

price2 <- price

n <- as.numeric(unlist(strsplit(params[params$indicator == "EMAcross",2],",")))
n1 <- n[1]
n2 <- n[2]

price2$ma1 <- EMA(Cl(price2),n=n1)
price2$ma2 <- EMA(Cl(price2),n=n2)

price2$signal <- price2$ma2 > price2$ma1
tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    eth_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    eth_signal="SELL"
  }
} else {
  eth_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_EMAcross=TRUE
} else {
  ens_EMAcross=FALSE
}

message(paste("ETH EMA cross signal is",eth_signal))

## ETH EMA cross signal is NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="ETH EMA cross")
grid()
lines(price2$ma1~ as.Date(price2$date) ,col="red")
lines(price2$ma2~ as.Date(price2$date) ,col="blue")

if ( eth_signal != "NONE") {
  MYNOTE <- paste(MYNOTE, "The ETH EMA cross signal is", eth_signal,".")
}

ETH DMI indicator

Directional movement indicator is a good approach to identify trend changes.

n <- as.numeric(params[params$indicator == "DMI",2])

dmi.adx <- ADX(price[,c("high","low","close")],n=n)
price2 <- cbind(price,dmi.adx)
price2$signal <- dmi.adx[,1] > dmi.adx[,2]
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    eth_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    eth_signal="SELL"
  }
} else {
  eth_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_DMI=TRUE
} else {
  ens_DMI=FALSE
}

message(paste("ETH DMI signal:",eth_signal))

## ETH DMI signal: NONE

price2 <- as.data.frame(price2)
par(mfrow=c(2,1))
plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="ETH USD price")
grid()
plot(price2$DIp~as.Date(price2$date),type="l", col="blue",
  xlab="Date",ylab="price (USD)",main="ETH DMI")
grid()
lines(price2$DIn ~ as.Date(price2$date) ,col="red")

if ( eth_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"ETH DMI signal is", eth_signal,".")
}

ETH TSI indicator

True Strength Indicator is one of the more profitable approaches. Its success lies in how it changes rapidly when momentum shifts. For most coins, this indicator performs “best” in backtesting analysis, which means it should carry relatively more weight than other indicators.

n <- as.numeric(unlist(strsplit(params[params$indicator == "TSI",2],",")))
n1 <- n[1]
n2 <- n[2]
ns <- n[3]

TSI <- function(x, n.first = 25, n.second = 13, n.signal = 7) {
  #True Strength Indicator
  #https://school.stockcharts.com/doku.php?id=technical_indicators:true_strength_index
  x <- try.xts(x, error = as.matrix)
  pc <- x - lag.xts(x, na.pad = T) #force lag.xts to get na padding
  dspc <- EMA(EMA(pc, n = n.first), n = n.second)
  dsapc <- EMA(EMA(abs(pc), n = n.first), n = n.second)

  tsi <- 100 * (dspc/dsapc)
  signal <- EMA(tsi, n = n.signal)
  r <- cbind(tsi, signal)
  r <- reclass(r, x)
  if (!is.null(dim(r))) colnames(r) <- c("tsi", "signal")
  return(r)
}

tsi <- TSI(price$close , n.first = n1, n.second = n2, n.signal = ns )
colnames(tsi) <- c("tsi","sig")

price2 <- cbind(price,tsi)
price2$signal <- tsi[,1] > tsi[,2]
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    eth_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    eth_signal="SELL"
  }
} else {
  eth_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_TSI=TRUE
} else {
  ens_TSI=FALSE
}

message(paste("ETH TSI signal:",eth_signal))

## ETH TSI signal: NONE

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(tsi[,1] ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="TSI",main="TSI")
lines(as.Date(price2$date), tsi[,2]  , col="red"  )
grid()

par(mfrow=c(1,1))

if ( eth_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"ETH TSI signal is", eth_signal,".")
}

ETH stochastic oscillator indicator

Similar to the TSI, the stoch can pinpoint early changes in momentum, however it may give many false positives.

n <- as.numeric(unlist(strsplit(params[params$indicator == "stoch",2],",")))
n1 <- n[1]
n2 <- n[2]
n3 <- n[3]

sto <- stoch(HLC(price), nFastK=n1 , nFastD=n2 , nSlowD=n2 , bounded = TRUE, smooth=n3)

price2 <- cbind(price,sto)
price2$signal <- price2$fastK > price2$fastD

tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    eth_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    eth_signal="SELL"
  }
} else {
  eth_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_stoch=TRUE
} else {
  ens_stoch=FALSE
}

message(paste("ETH stoch signal:",eth_signal))

## ETH stoch signal: NONE

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(price2$fastK ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="index",main="stochastic oscillator")
lines(as.Date(price2$date), price2$fastD  , col="red"  )
grid()

par(mfrow=c(1,1))

if ( eth_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"ETH Stoch signal is", eth_signal,".")
}

ETH double RSI indicator

Double RSI is simply two RSI lines.

n <- as.numeric(unlist(strsplit(params[params$indicator == "RSI2",2],",")))
n1 <- n[1]
n2 <- n[2]

rsi1 <- RSI(price$close,n=n1,maType=EMA)
rsi2 <- RSI(price$close,n=n2,maType=EMA)

price2 <- cbind(price,rsi1,rsi2)
price2$signal <- price2$rsi1 > price2$rsi2

tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    eth_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    eth_signal="SELL"
  }
} else {
  eth_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_RSI2=TRUE
} else {
  ens_RSI2=FALSE
}

message(paste("ETH RSI signal:",eth_signal))

## ETH RSI signal: NONE

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(price2$rsi1 ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="index",main="double RSI")
lines(as.Date(price2$date), price2$rsi2  , col="red"  )
grid()

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(price2$rsi1/price2$rsi2 ~ as.Date(price2$date),type="l",
  xlab="Date",ylab="RSI ratio",main="double RSI")
grid()
abline(h=1,lty=2,lwd=2)

par(mfrow=c(1,1))

if ( eth_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"ETH RSI2 signal is", eth_signal,".")
}

ETH Donchian channel indicator

n <- as.numeric(params[params$indicator == "DC",2])

price2 <- price[1:nrow(price)-1,]
dc <- DonchianChannel(price2$close,n=n)

price2$higher <- c(NA,sapply(2:nrow(dc),function(i) {
  dc[i,"high"] > dc[(i-1),"high"]
} ))
price2$lower <- c(NA,sapply(2:nrow(dc),function(i) {
  dc[i,"low"] < dc[(i-1),"low"]
} ))
price2 <- price2[price2$higher != price2$lower,]
# show changing rows only
price2 <- price2[c(NA,unlist(lapply(2:nrow(price2) , function(i) {
  price2$higher[i] != price2$higher[i-1]
}))),]
price2 <- price2[!is.na(price2$higher),]

previous_signal <- price2[nrow(price2),"higher"]

price2 <- price
dc <- DonchianChannel(price2$close,n=n)
colnames(dc) <- c("dchigh","dcmid","dclow")
price2 <- cbind(price2,dc)

tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

eth_signal="NONE"

# if we in negative territory, check whether time to buy
if ( previous_signal == FALSE ) {
  if ( price2[nrow(price2),"dchigh"] > price2[nrow(price2)-1,"dchigh"] ) {
    eth_signal="BUY"
  }
}

# if we in positive territory, check whether time to sell
if ( previous_signal == TRUE ) {
  if ( price2[nrow(price2),"dclow"] < price2[nrow(price2)-1,"dclow"] ) {
    eth_signal="SELL"
  }
}

if ( eth_signal=="NONE" ) {
  today_signal=previous_signal
} else {
  if (eth_signal=="BUY") { today_signal = TRUE }
  if (eth_signal=="SELL") { today_signal = FALSE }
}

if (today_signal==TRUE) {
  ens_DC=TRUE
} else {
  ens_DC=FALSE
}

message(paste("ETH DC signal:",eth_signal))

## ETH DC signal: NONE

plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price",lwd=2)
grid()

lines(price2$dclow~ as.Date(price2$date),lwd=1.5,col="red")
lines(price2$dchigh~ as.Date(price2$date),lwd=1.5,col="limegreen")

price2 <- tail(price2,100)

plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price",lwd=2)
grid()

lines(price2$dclow~ as.Date(price2$date),lwd=1.5,col="red")
lines(price2$dcmid~ as.Date(price2$date),lwd=1.5,col="gray")
lines(price2$dchigh~ as.Date(price2$date),lwd=1.5,col="limegreen")

if ( eth_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"ETH Donchian channel signal is", eth_signal,".")
}

ETH KST indicator

Another high-performing indicator across different price series data.

price2 <- price

n <- as.numeric(unlist(strsplit(params[params$indicator == "KST",2],",")))
nScale <- n[1]
nrocScale <- n[2]
nSigs <- n[3]

kst <- KST(price2$close,n=nScale * c(10, 10, 10, 15) ,
  nROC=nrocScale * c(10, 15, 20, 30),
  nSig=nSigs)

price2 <- cbind(price2,kst)
price2$KST <- as.numeric(kst[,1]>kst[,2])

tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"KST"]
previous_signal <- price2[(nrow(price2)-1),"KST"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    signal="SELL"
  }
} else {
  signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_DMI=TRUE
} else {
  ens_DMI=FALSE
}

message(paste("ETH KST signal:",eth_signal))

## ETH KST signal: NONE

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(kst[,1] ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="KST",main="KST")
lines(as.Date(price2$date), kst[,2]  , col="red"  )
grid()

par(mfrow=c(1,1))

if ( eth_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"ETH KST signal is", eth_signal,".")
}

ETH Ensemble indicator

This is a combination of a number of indicators.

ens <- params[params$indicator=="Ensemble","parameter"]
myrev <- intToUtf8(rev(utf8ToInt(ens)))
myrev <- unlist(strsplit(myrev,","))
# get thresh
n <- as.numeric(myrev[1])
myrev <- myrev[2:length(myrev)]
# get combination
combo <- sapply(myrev,function(s) { intToUtf8(rev(utf8ToInt(s))) })

message(paste("The combination is",paste(combo,collapse=" ")))

## The combination is KST DC RSI2 stoch DMI EMA SMAcross

message(paste("The buy threshold is",n))

## The buy threshold is 4

indicators <- c("SMA"=ens_SMA,
  "EMA"=ens_EMA,
  "SMAcross"=ens_SMAcross,
  "EMAcross"=ens_EMAcross,
  "DMI"=ens_DMI,
  "TSI"=ens_TSI,
  "stoch"=ens_stoch,
  "RSI2"=ens_RSI2,
  "DC"=ens_DC)

indicators <- indicators[names(indicators) %in% combo]
message("State of the indicators:")

## State of the indicators:

indicators

##      EMA SMAcross      DMI    stoch     RSI2       DC 
##    FALSE    FALSE    FALSE    FALSE     TRUE    FALSE

today_count <- sum(indicators)
message(paste("today_count_ETH",today_count,sep="="))

## today_count_ETH=1

today_signal <- today_count>=n

prev_html <- readLines("https://mdz-analytics.com/coins/ETH/alerts_ETH.html")
prev_signal <- length(grep("ETH ensemble indicator is BULLISH",prev_html))>2

eth_signal <- "NONE"

if ( today_signal != prev_signal ) {
  if ( today_signal == TRUE ) {
    eth_signal="BUY"
  } else {
    eth_signal="SELL"
  }
}

if (today_signal==TRUE) {
  message("ETH ensemble indicator is BULLISH")
} else {
  message("ETH ensemble indicator is BEARISH")
}

## ETH ensemble indicator is BEARISH

message(paste("ETH ENS signal:",eth_signal))

## ETH ENS signal: NONE

if ( eth_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"ETH Ensemble indicator is", eth_signal,".")
}

Send a push notification.

MYNOTE

## NULL

if ( !is.null(MYNOTE) ) {
  MYNOTE <- paste(MYNOTE, ". Visit https://mdz-analytics.com/coins/ETH/alerts_ETH.html for the details")
  MYNOTE
  pbPost("note", "Crypto Alert", MYNOTE ,channel="eth_signal")
}

Session information

For reproducibility

sessionInfo()

## R version 4.1.2 (2021-11-01)
## Platform: aarch64-unknown-linux-gnu (64-bit)
## Running under: Ubuntu 22.04.1 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/aarch64-linux-gnu/blas/libblas.so.3.10.0
## LAPACK: /usr/lib/aarch64-linux-gnu/lapack/liblapack.so.3.10.0
## 
## locale:
##  [1] LC_CTYPE=en_AU.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_AU.UTF-8        LC_COLLATE=en_AU.UTF-8    
##  [5] LC_MONETARY=en_AU.UTF-8    LC_MESSAGES=en_AU.UTF-8   
##  [7] LC_PAPER=en_AU.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] kableExtra_1.3.4  RPushbullet_0.3.4 quantmod_0.4.20   TTR_0.24.3       
##  [5] xts_0.12.1        zoo_1.8-10        runner_0.4.1      forcats_0.5.1    
##  [9] stringr_1.4.0     dplyr_1.0.9       purrr_0.3.4       readr_2.1.2      
## [13] tidyr_1.2.0       tibble_3.1.8      ggplot2_3.3.6     tidyverse_1.3.2  
## [17] jsonlite_1.8.0   
## 
## loaded via a namespace (and not attached):
##  [1] httr_1.4.4          sass_0.4.2          viridisLite_0.4.0  
##  [4] modelr_0.1.8        bslib_0.4.0         assertthat_0.2.1   
##  [7] highr_0.9           googlesheets4_1.0.1 cellranger_1.1.0   
## [10] yaml_2.3.5          pillar_1.8.0        backports_1.4.1    
## [13] lattice_0.20-45     glue_1.6.2          digest_0.6.29      
## [16] rvest_1.0.2         colorspace_2.0-3    htmltools_0.5.3    
## [19] pkgconfig_2.0.3     broom_1.0.0         haven_2.5.0        
## [22] bookdown_0.28       scales_1.2.0        webshot_0.5.3      
## [25] svglite_2.1.0       tzdb_0.3.0          googledrive_2.0.0  
## [28] generics_0.1.3      ellipsis_0.3.2      cachem_1.0.6       
## [31] withr_2.5.0         cli_3.3.0           magrittr_2.0.3     
## [34] crayon_1.5.1        readxl_1.4.1        evaluate_0.16      
## [37] fs_1.5.2            fansi_1.0.3         xml2_1.3.3         
## [40] tools_4.1.2         hms_1.1.1           gargle_1.2.0       
## [43] lifecycle_1.0.1     munsell_0.5.0       reprex_2.0.2       
## [46] compiler_4.1.2      jquerylib_0.1.4     systemfonts_1.0.4  
## [49] rlang_1.0.4         grid_4.1.2          rstudioapi_0.13    
## [52] rmarkdown_2.15      gtable_0.3.0        DBI_1.1.3          
## [55] curl_4.3.2          R6_2.5.1            lubridate_1.8.0    
## [58] knitr_1.39          fastmap_1.1.0       utf8_1.2.2         
## [61] stringi_1.7.8       parallel_4.1.2      rmdformats_1.0.4   
## [64] Rcpp_1.0.9          vctrs_0.4.1         dbplyr_2.2.1       
## [67] tidyselect_1.1.2    xfun_0.32